上面的代码更简洁一些。InputStreams最终关闭了包装，以确保它们也被关闭:

*请注意 输入:InputStream is, int w, int h 输出:位图

    try
    {

        final int inWidth;
        final int inHeight;

        final File tempFile = new File(temp, System.currentTimeMillis() + is.toString() + ".temp");

        {

            final FileOutputStream tempOut = new FileOutputStream(tempFile);

            StreamUtil.copyTo(is, tempOut);

            tempOut.close();

        }



        {

            final InputStream in = new FileInputStream(tempFile);
            final BitmapFactory.Options options = new BitmapFactory.Options();

            try {

                // decode image size (decode metadata only, not the whole image)
                options.inJustDecodeBounds = true;
                BitmapFactory.decodeStream(in, null, options);

            }
            finally {
                in.close();
            }

            // save width and height
            inWidth = options.outWidth;
            inHeight = options.outHeight;

        }

        final Bitmap roughBitmap;

        {

            // decode full image pre-resized
            final InputStream in = new FileInputStream(tempFile);

            try {

                final BitmapFactory.Options options = new BitmapFactory.Options();
                // calc rought re-size (this is no exact resize)
                options.inSampleSize = Math.max(inWidth/w, inHeight/h);
                // decode full image
                roughBitmap = BitmapFactory.decodeStream(in, null, options);

            }
            finally {
                in.close();
            }

            tempFile.delete();

        }

        float[] values = new float[9];

        {

            // calc exact destination size
            Matrix m = new Matrix();
            RectF inRect = new RectF(0, 0, roughBitmap.getWidth(), roughBitmap.getHeight());
            RectF outRect = new RectF(0, 0, w, h);
            m.setRectToRect(inRect, outRect, Matrix.ScaleToFit.CENTER);
            m.getValues(values);

        }

        // resize bitmap
        final Bitmap resizedBitmap = Bitmap.createScaledBitmap(roughBitmap, (int) (roughBitmap.getWidth() * values[0]), (int) (roughBitmap.getHeight() * values[4]), true);

        return resizedBitmap;

    }
    catch (IOException e) {

        logger.error("Error:" , e);
        throw new ResourceException("could not create bitmap");

    }

如果你想一步调整大小你可以加载整个位图如果 android:largeHeap = true，但正如你所看到的，这是不可取的。

From docs: android:largeHeap Whether your application's processes should be created with a large Dalvik heap. This applies to all processes created for the application. It only applies to the first application loaded into a process; if you're using a shared user ID to allow multiple applications to use a process, they all must use this option consistently or they will have unpredictable results. Most apps should not need this and should instead focus on reducing their overall memory usage for improved performance. Enabling this also does not guarantee a fixed increase in available memory, because some devices are constrained by their total available memory.

当我有大位图，我想解码他们调整大小我使用以下

BitmapFactory.Options options = new BitmapFactory.Options();
InputStream is = null;
is = new FileInputStream(path_to_file);
BitmapFactory.decodeStream(is,null,options);
is.close();
is = new FileInputStream(path_to_file);
// here w and h are the desired width and height
options.inSampleSize = Math.max(options.outWidth/w, options.outHeight/h);
// bitmap is the resized bitmap
Bitmap bitmap = BitmapFactory.decodeStream(is,null,options);

这是“Mojo Risin”和“Ofir”解决方案的“结合”。这将给你一个按比例调整图像的最大宽度和最大高度的边界。

它只读取元数据以获得原始大小(选项。 它使用粗略的调整大小来节省内存(itmap.createScaledBitmap) 它使用了基于之前创建的粗糙Bitamp精确调整大小的图像。

对我来说，它在500万像素以下的图像上表现良好。

try
{
    int inWidth = 0;
    int inHeight = 0;

    InputStream in = new FileInputStream(pathOfInputImage);

    // decode image size (decode metadata only, not the whole image)
    BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true;
    BitmapFactory.decodeStream(in, null, options);
    in.close();
    in = null;

    // save width and height
    inWidth = options.outWidth;
    inHeight = options.outHeight;

    // decode full image pre-resized
    in = new FileInputStream(pathOfInputImage);
    options = new BitmapFactory.Options();
    // calc rought re-size (this is no exact resize)
    options.inSampleSize = Math.max(inWidth/dstWidth, inHeight/dstHeight);
    // decode full image
    Bitmap roughBitmap = BitmapFactory.decodeStream(in, null, options);

    // calc exact destination size
    Matrix m = new Matrix();
    RectF inRect = new RectF(0, 0, roughBitmap.getWidth(), roughBitmap.getHeight());
    RectF outRect = new RectF(0, 0, dstWidth, dstHeight);
    m.setRectToRect(inRect, outRect, Matrix.ScaleToFit.CENTER);
    float[] values = new float[9];
    m.getValues(values);

    // resize bitmap
    Bitmap resizedBitmap = Bitmap.createScaledBitmap(roughBitmap, (int) (roughBitmap.getWidth() * values[0]), (int) (roughBitmap.getHeight() * values[4]), true);

    // save image
    try
    {
        FileOutputStream out = new FileOutputStream(pathOfOutputImage);
        resizedBitmap.compress(Bitmap.CompressFormat.JPEG, 80, out);
    }
    catch (Exception e)
    {
        Log.e("Image", e.getMessage(), e);
    }
}
catch (IOException e)
{
    Log.e("Image", e.getMessage(), e);
}

在Android开发者网站上有一篇关于这个问题的很棒的文章: 有效加载大位图

我使用Integer。numberOfLeadingZeros计算最佳样本量，性能更好。

kotlin完整代码:

@Throws(IOException::class)
fun File.decodeBitmap(options: BitmapFactory.Options): Bitmap? {
    return inputStream().use {
        BitmapFactory.decodeStream(it, null, options)
    }
}

@Throws(IOException::class)
fun File.decodeBitmapAtLeast(
        @androidx.annotation.IntRange(from = 1) width: Int,
        @androidx.annotation.IntRange(from = 1) height: Int
): Bitmap? {
    val options = BitmapFactory.Options()

    options.inJustDecodeBounds = true
    decodeBitmap(options)

    val ow = options.outWidth
    val oh = options.outHeight

    if (ow == -1 || oh == -1) return null

    val w = ow / width
    val h = oh / height

    if (w > 1 && h > 1) {
        val p = 31 - maxOf(Integer.numberOfLeadingZeros(w), Integer.numberOfLeadingZeros(h))
        options.inSampleSize = 1 shl maxOf(0, p)
    }
    options.inJustDecodeBounds = false
    return decodeBitmap(options)
}